Minicor Raises $3.8M to Link AI With Legacy Software

The San Francisco startup's seed round will fund technology that lets AI applications operate older desktop programs through their user interfaces.

Updated on Nov. 3, 2026 in Startups

Minicor Raises $3.8M to Link AI With Legacy Software

Minicor, an artificial intelligence startup headquartered in San Francisco, raised $3.8 million in seed funding led by Brad Gillespie of IA Ventures. The company is co-founded by Saheed Akinbile and Faizaan Chishtie and builds a platform that converts desktop-based business processes into API endpoints.

Why it matters

Many businesses rely on older applications but face high costs and technical difficulties integrating them with newer technologies. Minicor is positioning its platform as an integration layer for AI startups and enterprise software providers.

The $3.8 million seed round was led by IA Ventures and joined by eight other investors, including Y Combinator. The filing does not disclose the company's valuation or revenue.

The players

Minicor

Minicor is an AI startup based in San Francisco that builds integration tools connecting AI applications to legacy desktop software.

Y Combinator

Y Combinator is a Silicon Valley startup accelerator that has backed many early-stage technology companies.

The details

The platform lets AI applications interact with existing desktop programs through their user interfaces, combining AI agents that help create and repair processes with predefined instructions for routine operations. The company plans to use the investment to expand this capability for traditional desktop software.

November 3, 2026: Minicor announces its $3.8 million seed funding.

Market Landscape

Minicor extends the robotic process automation category by using AI agents to create and repair desktop workflows instead of relying only on predefined scripts. The move positions it among startups bridging older enterprise software and the newer generation of AI tools.

Businesses that depend on older desktop applications may eventually see AI tools that work with those systems without costly rebuilds. Current customers of those legacy programs are not directly affected by this funding round.

The takeaway

Companies running older desktop software may find that AI integration layers offer a lower-cost route to modern automation than full system replacement. Evaluating which legacy workflows can be exposed through interfaces is a practical first step for IT teams.